An introduction to optimization /
"Optimization is central to any problem involving decision making in many disciplines, such as engineering, mathematics, statistics, economics, and computer science. Now, more than ever, it is increasingly vital to have a firm grasp of the topic due to the rapid progress in computer technology,...
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Other Authors: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Hoboken, N.J. :
Wiley-Interscience,
©2008.
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Edition: | 3rd ed., Fully updated. |
Series: | Wiley-Interscience series in discrete mathematics and optimization.
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Subjects: | |
Online Access: | CONNECT |
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100 | 1 | |a Chong, Edwin Kah Pin. | |
245 | 1 | 3 | |a An introduction to optimization / |c Edwin K.P. Chong, Stanislaw H. Żak. |
250 | |a 3rd ed., Fully updated. | ||
260 | |a Hoboken, N.J. : |b Wiley-Interscience, |c ©2008. | ||
300 | |a 1 online resource (xv, 584 pages : : |b illustrations.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Wiley-Interscience series in discrete mathematics and optimization | |
500 | |a Wiley EBA |5 TMurS | ||
504 | |a Includes bibliographical references (pages 563-570) and index. | ||
505 | 0 | |a Methods of proof and some notation -- Vector spaces and matrices -- Transformations -- Concepts from geometry -- Elements of calculus -- Basics of set-constrained and unconstrained optimization -- One-dimensional search methods -- Gradient methods -- Newton's method -- Conjugate direction methods -- Quasi-Newton methods -- Solving linear equations -- Unconstrained optimization and neural networks -- Global search algorithms -- Introduction to linear programming -- Simplex method -- Duality -- Nonsimplex methods -- Problems with equality constraints -- Problems with inequality constraints -- Convex optimization problems -- Algorithms for constrained optimization -- Multiobjective optimization. | |
520 | 1 | |a "Optimization is central to any problem involving decision making in many disciplines, such as engineering, mathematics, statistics, economics, and computer science. Now, more than ever, it is increasingly vital to have a firm grasp of the topic due to the rapid progress in computer technology, including the development and availability of user-friendly software, high-speed and parallel processors, and networks. Fully updated to reflect modern developments in the field, An Introduction to Optimization, Third Edition fills the need for an accessible, yet rigorous, introduction to optimization theory and methods." "The book begins with a review of basic definitions and notations and also provides the related fundamental background of linear algebra, geometry, and calculus. With this foundation, the authors explore the essential topics of unconstrained optimization problems, linear programming problems, and nonlinear constrained optimization. An optimization perspective on global search methods is featured and includes discussions on genetic algorithms, particle swarm optimization, and the simulated annealing algorithm. In addition, the book includes an elementary introduction to artificial neural networks, convex optimization, and multi-objective optimization, all of which are of tremendous interest to students, researchers, and practitioners."--Jacket. | |
588 | |a Description based on print version record. | ||
650 | 0 | |a Mathematical optimization. | |
650 | 0 | |a Nonsmooth optimization. | |
650 | 0 | |a Linear programming. | |
650 | 2 | |a Programming, Linear | |
700 | 1 | |a Żak, Stanislaw H. | |
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